Department of Education, Sejong University, Seoul, Republic of Korea.
Seoul National University College of Medicine, Seoul, Republic of Korea.
Eur Addict Res. 2020;26(6):335-345. doi: 10.1159/000506629. Epub 2020 Mar 13.
The aim of the current study was to develop and validate a short-form of the internet overuse screening questionnaire (IOS-Qs).
A total of 571 adults were recruited from a representative, stratified, and multistage cluster sample. Among participants, 188 and 383 were used in the development and validation of the IOS-Qs, respectively.
Experts' ratings and Rasch model analyses led to the selection of 8 items from the IOS-Qs; latent-class analysis using these 8 items revealed an estimated prevalence of 8.6% (33 out of 383) of problematic internet over-users. Problematic internet over-users were positively associated with a 1-year prevalence rate of any mental disorder (OR 3.08, p = 0.008), mood disorder (OR 7.11, p = 0.003), and depressive disorder (OR 5.22, p = 0.016). The receiver operating characteristic curves identified an optimal cutoff score of 9.5 for differentiating problematic internet over-users from unproblematic internet users with 94% sensitivity and 94% specificity.
The results suggest that the IOS-Qs was valid, and items including social isolation were crucial to the brief distinction of at-risk internet users. Because of its brevity, the questionnaire can be effectively administered as a large-scale survey.
本研究旨在开发和验证互联网过度使用筛查问卷(IOS-Qs)的简短形式。
共招募了 571 名来自代表性、分层和多阶段聚类样本的成年人。在参与者中,分别有 188 人和 383 人用于开发和验证 IOS-Qs。
专家评分和 Rasch 模型分析导致从 IOS-Qs 中选择了 8 个项目;使用这 8 个项目的潜在类别分析显示,有问题的互联网过度使用者的估计患病率为 8.6%(33 人/383 人)。有问题的互联网过度使用者与任何精神障碍(OR 3.08,p = 0.008)、情绪障碍(OR 7.11,p = 0.003)和抑郁障碍(OR 5.22,p = 0.016)的 1 年患病率呈正相关。受试者工作特征曲线确定了区分有问题的互联网过度使用者和无问题的互联网使用者的最佳截断分数为 9.5,其敏感性为 94%,特异性为 94%。
结果表明,IOS-Qs 是有效的,包括社交隔离在内的项目对于简短区分有风险的互联网使用者至关重要。由于其简洁性,该问卷可以有效地作为大规模调查进行管理。